Senior Machine Learning Engineer architecting next-gen Agentic AI systems for enterprise workflows at Demandbase. Focused on multi-agent orchestration and LLM-powered reasoning systems.
Responsibilities
Design and implement multi-agent systems for complex enterprise workflows
Build agent orchestration frameworks
Develop architectures for reasoning loops, memory systems, tool integration, and contextual grounding
Design guardrails for hallucination mitigation and safe execution
Implement feedback-driven refinement loops and self-correction strategies
Design and operationalize LLM evaluation frameworks
Create structured evaluation pipelines to continuously improve agent performance
Apply advanced NLP techniques and optimize data pipelines with Python, Pandas, Spark
Architect modular, extensible AI systems for long-term maintainability
Implement evaluation-driven CI/CD for GenAI systems
Ensure ethical AI practices and compliance with enterprise standards
Define best practices and mentor engineers and data scientists.
Requirements
8+ years of experience in Machine Learning, AI Engineering, or Applied Data Science
Strong expertise in Generative AI systems and LLM architectures
Experience designing multi-agent or tool-using AI systems
Deep proficiency in Python and ML ecosystems (NumPy, Pandas, PyTorch/TensorFlow)
Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
Senior Machine Learning Engineer focused on Machine Learning Ops for Autodesk software products. Building production infrastructures, ensuring AI - powered experiences, and collaborating with cross - functional teams.
Senior Machine Learning Engineer developing and deploying machine learning models for autonomous trucks. Collaborating with various teams to enhance safe and efficient decision - making in freight environments.
AI Engineer at PayPal designing, building, and deploying autonomous AI systems powered by LLMs. Collaborating across teams on AI engineering, distributed systems, and product development.
Machine Learning Engineer designing and deploying advanced training capabilities to support U.S. Navy operational readiness. Collaborate on machine - learning models to enhance combat system training environments.
Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.
AI/ML Engineer at CACI developing machine learning algorithms for multiple applications. Collaborating with a research team to implement cutting - edge AI/ML solutions for customer missions.
Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.